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Methods to discover gene programs on single-cell data
Shiny App providing functionalities to browse an query results of genome-wide CRISPR-Cas9 cancer cell line screens as well as cancer cell line transcriptomics data and predicted sgRNAs.
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
A markup-based typesetting system that is powerful and easy to learn.
R interface to the Pan-human Azimuth neural network for cell type annotation
An ensemble approach to accurately detect somatic mutations using SomaticSeq
This package contains deep learning models and related scripts for RoseTTAFold
Code for the ProteinMPNN paper
quickly filter fastq files by matching sequences to a set of regex patterns
Modification-induced misincorporation tRNA sequencing
Turn an existing conda environment into a Singularity container
User friendly and accurate binder design pipeline
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
A Comet-based, best practices proteomics pipeline.
Cloud-native genomic dataframes and batch computing
R package implementation of Milo for testing for differential abundance in KNN graphs
A suite of utilities for converting to and working with CSV, the king of tabular file formats.
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
GFF and GTF file manipulation and interconversion
Single-cell analysis in Python. Scales to >100M cells.
RankCompV3: a differential expression analysis algorithm based on the relative expression orderings (REOs) of gene pairs
Bash Line Editor―a line editor written in pure Bash with syntax highlighting, auto suggestions, vim modes, etc. for Bash interactive sessions.
Programmable completion functions for bash